readFloat: memory exhaustion with large exponentNumeric.readFloat takes time and memory linear in the size of the
number denoted by the input string. In particular, processing a
number expressed in scientific notation with a very large exponent
could cause a denial of service. The slowdown is observable on a
modern machine running GHC 9.4.4:
ghci> import qualified Numeric
ghci> Numeric.readFloat "1e1000000" -- near instantaneous
[(Infinity,"")]
ghci> Numeric.readFloat "1e10000000" -- perceptible pause
[(Infinity,"")]
ghci> Numeric.readFloat "1e100000000" -- ~ 3 seconds
[(Infinity,"")]
ghci> Numeric.readFloat "1e1000000000" -- ~ 35 seconds
[(Infinity,"")]
Numeric.readFloat is defined for all RealFrac a => a:
readFloat :: RealFrac a => ReadS a
The RealFrac type class does not express any bounds on the size of
values representable in the types for which instances exist, so
bounds checking is not possible (in this generic function).
readFloat uses to Text.Read.Lex.numberToRational which, among
other things, calculates 10 ^ exponent, which seems to take linear
time and memory.
Mitigation: use read. The Read instances for Float and
Double perform bounds checks on the exponent, via
Text.Read.Lex.numberToRangedRational.
The issue was detected in toml-reader version 0.1.0.0, and
mitigated in version 0.2.0.0 by immediately returning Infinity
when the exponent is large enough that there's no reason to process
it.
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"repository": "https://github.com/haskell/security-advisories"
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